{"id":"W6902753772","doi":"10.7910/dvn/lxatrl","title":"Comportements et attitudes politiques au Québec","year":2025,"lang":"fr","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Context (archaeology); Field (mathematics); Work (physics); Government (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000963816,0.001115428,0.0009282831,0.006321106,0.001438584,0.002052016,0.001467551,0.000953932,0.02728049],"category_scores_gemma":[0.007223662,0.0006323059,0.001061183,0.01576783,0.0004709593,0.0008890392,0.001178471,0.00145193,0.01033655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01236009,"about_ca_system_score_gemma":0.01428004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9826013,"about_ca_topic_score_gemma":0.9891877,"domain_scores_codex":[0.9988733,0.0001382542,0.00009704261,0.0002144077,0.000393643,0.0002832674],"domain_scores_gemma":[0.9944625,0.0008671212,0.0004662176,0.0004977094,0.00325862,0.0004477591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001499193,0.00004583833,0.04275944,0.0004921927,0.0001989775,0.00005734536,0.0005348781,0.001174186,0.000178431,0.001433326,0.9418432,0.01113223],"study_design_scores_gemma":[0.0001430236,0.00002223325,0.3721997,0.0005814011,0.0001173128,0.00006821474,0.00125387,0.002208172,0.0005359486,0.000538378,0.6222419,0.00008993428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007253024,0.0004034318,0.0001332716,0.0002767867,0.00002899962,0.00001976467,0.988758,0.0001585049,0.002968253],"genre_scores_gemma":[0.01945074,0.0004239934,0.0004666919,0.0001366448,0.00002032204,0.0001456146,0.9659672,0.00007534611,0.01331331],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02728049,"threshold_uncertainty_score":0.09126228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0378914957658582,"score_gpt":0.3316541461000652,"score_spread":0.293762650334207,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}